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portada Technology Mining: Text Analytics for Evidence-Based Foresight
Type
Physical Book
Publisher
Author
Language
English
Pages
240
Format
Hardcover
Dimensions
23.5x15.5 cm
ISBN13
9783032108487

Technology Mining: Text Analytics for Evidence-Based Foresight

Da Hora, Henrique; Porter, Alan L.; Chiavetta, Denise (Author) · Springer · Hardcover

Technology Mining: Text Analytics for Evidence-Based Foresight - Da Hora, Henrique; Porter, Alan L.; Chiavetta, Denise

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Synopsis "Technology Mining: Text Analytics for Evidence-Based Foresight"

Tech mining is text-oriented analytics that supports decision-making in science, technology, and innovation (ST&I) policy and management in areas including competitive technical intelligence, R&D management, and research evaluation. Presenting selected papers from the 12th Global TechMining Conference (GTM2022), this book covers novel digital information sources such as optimization and integration of 360-degree view in science, economic, political, and social domains; processing methods that accelerate and optimize procedures involving human expertise, such as Delphi; and visualizations and other outputs such as data visualization to provide better communication of research findings. Technology Mining: Text-Analytics for Evidence-Based Foresight is an essential guide for a cross-disciplinary network of ST&I policy analysts, software specialists, researchers, technology managers, and students to further advance and adopt textual information in multiple scientific, technology, and business development fields.

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